Developer Tool

Ship your AI-built developer tool with production-grade reliability

Code review, performance optimization, and production services for developer tools, CLIs, APIs, and developer platforms built with AI coding tools.

Developer tools face the most technically demanding audience there is — other developers. They'll inspect your source code, stress-test your API, and publicly criticize performance issues on Twitter. AI tools can scaffold a CLI, dashboard, or API wrapper quickly, but developer tools need exceptional error messages, comprehensive documentation, and rock-solid reliability because your users know exactly how software should work.

Developer Tool challenges we solve

The most common issues in AI-built developer tool projects.

Error messages and developer experience

Developers expect error messages that tell them exactly what went wrong, why, and how to fix it. AI-generated tools return generic 'Something went wrong' messages or raw stack traces. Good DX means every error is actionable and every edge case has a helpful response.

API design and consistency

Developer tools live or die by their API surface — whether REST endpoints, CLI arguments, or SDK methods. Naming must be consistent, behavior must be predictable, and breaking changes must be versioned. AI tools generate functional but inconsistent APIs that frustrate developers.

Documentation and examples

Developers won't use your tool if they can't figure it out quickly. You need API reference docs, getting-started guides, code examples in multiple languages, and a changelog. AI tools build the tool but not the documentation ecosystem around it.

Performance and latency

Developer tools are often in the critical path of other developers' workflows — slow API responses, laggy CLIs, or unresponsive dashboards directly waste their time. Every millisecond matters. AI-generated tools have unoptimized database queries and no caching.

Authentication and API key management

Developer tools need API key generation, key rotation, scoped permissions per key, usage tracking, and rate limiting. AI tools implement a single hardcoded API key or basic bearer tokens without any key lifecycle management.

Webhook and integration reliability

If your tool sends webhooks or integrates with other services, deliveries must be reliable — with retry logic, delivery logging, signature verification, and a way for users to test and debug integrations. AI tools fire-and-forget webhooks with no reliability guarantees.

What we review

Our developer tool audit covers these critical areas.

API design — consistent naming, predictable behavior, proper status codes

Error handling — actionable error messages for every failure mode

Authentication — API key generation, rotation, scoped permissions

Rate limiting — per-key limits, usage tracking, quota management

Performance — response times under 200ms for common operations

Documentation — auto-generated API reference, code examples, changelog

Webhook reliability — retry logic, delivery logging, signature verification

Testing — automated tests covering core functionality and edge cases

CLI experience — helpful flags, bash completion, clear output formatting

SDK quality — type definitions, error types, idiomatic patterns per language

We work with developer tool apps built with

Common developer tool tech stacks

Start with a self-serve audit

Get a professional review of your developer tool at a fixed price.

Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 checks
  • SSL/TLS analysis
  • Security headers
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerabilities
  • Code quality review
  • Dependency audit
  • AI pattern analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

1

Tell us about your app

Share your project details and what you need help with.

2

Get a clear plan

We respond in 24 hours with scope, timeline, and cost.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

How do I get developers to trust my AI-built tool?

Developers trust tools that work reliably, have good documentation, and handle errors gracefully. Start with rock-solid core functionality rather than many features. Open-source your SDK if applicable, provide transparent status pages, and respond quickly to bug reports. Our production review ensures the technical foundation meets developer expectations.

Should I open-source my developer tool?

It depends on your business model. Open-source SDKs and CLIs build trust and get contributions. Keep your backend proprietary if that's your revenue source. Many successful developer tools are 'open core' — open-source client libraries with a paid hosted service. We can help structure your codebase for this model.

How important is backwards compatibility for a new developer tool?

Critical from day one. Once developers integrate your tool, breaking changes cost them time and erode trust. Use semantic versioning, provide a clear deprecation policy, and support at least one previous major version. Our API review checks for versioning strategy and identifies potential breaking change risks.

Building a developer tool?

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App